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Using linked administrative and disease-specific databases to study end-of-life care on a population level
BACKGROUND: The use of full-population databases is under-explored to study the use, quality and costs of end-of-life care. Using the case of Belgium, we explored: (1) which full-population databases provide valid information about end-of-life care, (2) what procedures are there to use these databas...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069861/ https://www.ncbi.nlm.nih.gov/pubmed/27756296 http://dx.doi.org/10.1186/s12904-016-0159-7 |
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author | Maetens, Arno De Schreye, Robrecht Faes, Kristof Houttekier, Dirk Deliens, Luc Gielen, Birgit De Gendt, Cindy Lusyne, Patrick Annemans, Lieven Cohen, Joachim |
author_facet | Maetens, Arno De Schreye, Robrecht Faes, Kristof Houttekier, Dirk Deliens, Luc Gielen, Birgit De Gendt, Cindy Lusyne, Patrick Annemans, Lieven Cohen, Joachim |
author_sort | Maetens, Arno |
collection | PubMed |
description | BACKGROUND: The use of full-population databases is under-explored to study the use, quality and costs of end-of-life care. Using the case of Belgium, we explored: (1) which full-population databases provide valid information about end-of-life care, (2) what procedures are there to use these databases, and (3) what is needed to integrate separate databases. METHODS: Technical and privacy-related aspects of linking and accessing Belgian administrative databases and disease registries were assessed in cooperation with the database administrators and privacy commission bodies. For all relevant databases, we followed procedures in cooperation with database administrators to link the databases and to access the data. RESULTS: We identified several databases as fitting for end-of-life care research in Belgium: the InterMutualistic Agency's national registry of health care claims data, the Belgian Cancer Registry including data on incidence of cancer, and databases administrated by Statistics Belgium including data from the death certificate database, the socio-economic survey and fiscal data. To obtain access to the data, approval was required from all database administrators, supervisory bodies and two separate national privacy bodies. Two Trusted Third Parties linked the databases via a deterministic matching procedure using multiple encrypted social security numbers. CONCLUSION: In this article we describe how various routinely collected population-level databases and disease registries can be accessed and linked to study patterns in the use, quality and costs of end-of-life care in the full population and in specific diagnostic groups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12904-016-0159-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5069861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50698612016-10-24 Using linked administrative and disease-specific databases to study end-of-life care on a population level Maetens, Arno De Schreye, Robrecht Faes, Kristof Houttekier, Dirk Deliens, Luc Gielen, Birgit De Gendt, Cindy Lusyne, Patrick Annemans, Lieven Cohen, Joachim BMC Palliat Care Research Article BACKGROUND: The use of full-population databases is under-explored to study the use, quality and costs of end-of-life care. Using the case of Belgium, we explored: (1) which full-population databases provide valid information about end-of-life care, (2) what procedures are there to use these databases, and (3) what is needed to integrate separate databases. METHODS: Technical and privacy-related aspects of linking and accessing Belgian administrative databases and disease registries were assessed in cooperation with the database administrators and privacy commission bodies. For all relevant databases, we followed procedures in cooperation with database administrators to link the databases and to access the data. RESULTS: We identified several databases as fitting for end-of-life care research in Belgium: the InterMutualistic Agency's national registry of health care claims data, the Belgian Cancer Registry including data on incidence of cancer, and databases administrated by Statistics Belgium including data from the death certificate database, the socio-economic survey and fiscal data. To obtain access to the data, approval was required from all database administrators, supervisory bodies and two separate national privacy bodies. Two Trusted Third Parties linked the databases via a deterministic matching procedure using multiple encrypted social security numbers. CONCLUSION: In this article we describe how various routinely collected population-level databases and disease registries can be accessed and linked to study patterns in the use, quality and costs of end-of-life care in the full population and in specific diagnostic groups. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12904-016-0159-7) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-18 /pmc/articles/PMC5069861/ /pubmed/27756296 http://dx.doi.org/10.1186/s12904-016-0159-7 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Maetens, Arno De Schreye, Robrecht Faes, Kristof Houttekier, Dirk Deliens, Luc Gielen, Birgit De Gendt, Cindy Lusyne, Patrick Annemans, Lieven Cohen, Joachim Using linked administrative and disease-specific databases to study end-of-life care on a population level |
title | Using linked administrative and disease-specific databases to study end-of-life care on a population level |
title_full | Using linked administrative and disease-specific databases to study end-of-life care on a population level |
title_fullStr | Using linked administrative and disease-specific databases to study end-of-life care on a population level |
title_full_unstemmed | Using linked administrative and disease-specific databases to study end-of-life care on a population level |
title_short | Using linked administrative and disease-specific databases to study end-of-life care on a population level |
title_sort | using linked administrative and disease-specific databases to study end-of-life care on a population level |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069861/ https://www.ncbi.nlm.nih.gov/pubmed/27756296 http://dx.doi.org/10.1186/s12904-016-0159-7 |
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